Description
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively.
Its features and drawbacks compared to other Python JSON libraries:
* serializes `dataclass` instances 40-50x as fast as other libraries
* serializes `datetime`, `date`, and `time` instances to RFC 3339 format,
e.g., "1970-01-01T00:00:00+00:00"
* serializes `numpy.ndarray` instances 4-12x as fast with 0.3x the memory
usage of other libraries
* pretty prints 10x to 20x as fast as the standard library
* serializes to `bytes` rather than `str`, i.e., is not a drop-in replacement
* serializes `str` without escaping unicode to ASCII, e.g., "好" rather than
"\\\u597d"
* serializes `float` 10x as fast and deserializes twice as fast as other
libraries
* serializes subclasses of `str`, `int`, `list`, and `dict` natively,
requiring `default` to specify how to serialize others
* serializes arbitrary types using a `default` hook
* has strict UTF-8 conformance, more correct than the standard library
* has strict JSON conformance in not supporting Nan/Infinity/-Infinity
* has an option for strict JSON conformance on 53-bit integers with default
support for 64-bit
* does not provide `load()` or `dump()` functions for reading from/writing to
file-like objects
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Homepage
https://github.com/ijl/orjson/
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